Professional Certificate in Language Processing Analysis: Actionable Knowledge
-- ViewingNowThe Professional Certificate in Language Processing Analysis: Actionable Knowledge is a comprehensive course that equips learners with crucial skills in language processing analysis. This certificate program is designed to meet the growing industry demand for professionals who can extract valuable insights from unstructured text data.
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โข Introduction to Language Processing Analysis: Overview of the field, its applications, and the importance of actionable knowledge in language processing.
โข Text Preprocessing Techniques: Tokenization, stemming, lemmatization, stop word removal, and cleaning techniques for preparing text data.
โข Natural Language Processing (NLP) Libraries: Introduction to popular NLP libraries such as NLTK, SpaCy, and Gensim, including their features and capabilities.
โข Sentiment Analysis: Techniques for analyzing subjective information in text data, including opinion mining and emotion detection.
โข Text Classification: Supervised machine learning techniques for categorizing text data into predefined categories, including Naive Bayes, Support Vector Machines (SVMs), and neural networks.
โข Topic Modeling: Unsupervised machine learning techniques for discovering hidden themes and topics in text data, including Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF).
โข Named Entity Recognition (NER): Techniques for identifying and categorizing named entities in text data, such as people, organizations, and locations.
โข Dependency Parsing: Analysis of the grammatical structure of sentences, including identifying subject-verb-object relationships and dependencies between words.
โข Evaluation Metrics: Techniques for evaluating the performance of NLP models, including precision, recall, F1 score, and perplexity.
โข Ethics and Bias in NLP: Discussion of the ethical considerations and potential biases in NLP, including cultural and societal impacts and responsible AI practices.
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